Your search found 3 records
1 Mandal, S.; Singh, R. P. 2008. Viability of shallow tubewell investment in lower Gangetic Plain: issues of feasibility of institutional borrowing in West Bengal. In Palanisami, K.; Ramasamy, C.; Umetsu, C. (Eds.). Groundwater management and policies. New Delhi, India: Macmillan. pp.203-216.
(Location: IWMI HQ Call no: 631.7.6.3 G635 PAL Record No: H041984)
2 Zahid, A.; Haque, M. A.; Islam, M. S.; Hassan, M. A. F. M. R. 2009. The impact of shallow tubewells on irrigation water availability, access, crop productivity and farmers' income in the lower Gangetic Plain of Bangladesh. In Mukherji, Aditi; Villholth, K. G.; Sharma, Bharat R.; Wang, J. (Eds.) Groundwater governance in the Indo-Gangetic and Yellow River basins: realities and challenges. London, UK: CRC Press. pp.141-162. (IAH Selected Papers on Hydrogeology 15)
Groundwater irrigation ; Aquifers ; Sedimentary materials ; Surveys ; Rivers ; Villages ; Shallow tube wells ; Water availability ; Irrigation water ; Crop production ; Productivity ; Soil properties ; Farm income ; Water market ; Pumping ; Energy / Bangladesh / Lower Gangetic Plain
(Location: IWMI HQ Call no: IWMI 631.7.6.3 G570 MUK Record No: H042227)
3 Maiti, A.; Acharya, P.; Sannigrahi, S.; Zhang, Q.; Bar, S.; Chakraborti, S.; Gayen, B. K.; Barik, G.; Ghosh, Surajit; Punia, M. 2022. Mapping active paddy rice area over monsoon Asia using time-series Sentinel – 2 images in Google Earth engine; a case study over Lower Gangetic Plain. Geocarto International, 37(25):10254-10277. [doi: https://doi.org/10.1080/10106049.2022.2032396]
Rice ; Mapping ; Satellite imagery ; Monsoons ; Time series analysis ; Case studies ; Farmland ; Precipitation ; Models / India / West Bengal / Lower Gangetic Plain
(Location: IWMI HQ Call no: e-copy only Record No: H051089)
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We proposed a modification of the existing approach for mapping active paddy rice fields in monsoon-dominated areas. In the existing PPPM approach, LSWI higher than EVI at the transplantation stage enables the identification of rice fields. However, it fails to recognize the fields submerged later due to monsoon floods. In the proposed approach (IPPPM), the submerged fields, at the maximum greenness time, were excluded for better estimation. Sentinel–2A/2B time-series images were used for the year 2018 to map paddy rice over the Lower Gangetic Plain (LGP) using Google earth engine (GEE). The overall accuracy (OA) obtained from IPPPM was 85%. Further comparison with the statistical data reveals the IPPPM underestimates (slope (b1) ¼ 0.77) the total reported paddy rice area, though R2 remains close to 0.9. The findings provide a basis for near real-time mapping of active paddy rice areas for addressing the issues of production and food security.
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